Auf einen Blick
- Aufgaben: Join us to develop cutting-edge imaging technology for cancer detection and treatment.
- Arbeitgeber: Virdx, part of QuantCo, is revolutionizing cancer diagnostics with innovative AI solutions.
- Mitarbeitervorteile: Enjoy a competitive salary, bonuses, stock options, and flexible hybrid work arrangements.
- Warum dieser Job: Be part of a passionate team making a real impact in medical research and machine learning.
- Gewünschte Qualifikationen: Advanced degree in relevant fields and strong coding skills in Python required.
- Andere Informationen: Opportunities for mentorship and collaboration with top professionals in the industry.
Das voraussichtliche Gehalt liegt zwischen 48000 - 84000 € pro Jahr.
Background: Virdx – the virtual diagnostics unit of QuantCo – is making non-invasive, dignified, and actionable tissue characterization for cancer detection and treatment a reality. Starting with prostate cancer – the most frequent and second most deadly cancer in men in the USA – Virdx is changing the paradigm for medical artificial intelligence. Virdx intends to replace the biopsy procedure with an imaging-based alternative that is free of side-effects: An in vivo microscope for virtual biopsy procedures. In doing so, Virdx is solving a broad range of high-profile challenges in the fields of magnetic resonance physics, machine learning, and software engineering.
Help us change medicine: Virdx aims to deliver fundamental changes to the way cancer is assessed. In its R&D effort, Virdx builds upon the principle “novel data for novel algorithms”. This means that Virdx is optimizing MRI protocols, with a particular emphasis on diffusion imaging, to power algorithms that can fully replace physical biopsies.
Your role: To build the product, you, as a research scientist at Virdx, will work on our diffusion simulation engine, our MRI protocols, and our ground truth pipeline.
Essential:
- Advanced degree (PhD, PostDoc, or MSc with 3+ years of experience) in physics, applied mathematics, statistics, electrical engineering or a related field
- Deep theoretical understanding of and practical experience with statistical inference in complex, high-dimensional systems, experience in Bayesian inference
- Practical experience with machine learning for probabilistic modeling (eg., density estimation, generative modeling, etc.)
- Strong coding skills in Python
- Complete proficiency in English
Desirable:
- High-quality publications in relevant fields and/or contribution to open source repositories
- Statistics for PDEs and inverse problems
- Experience with Monte-Carlo methods or other sampling methods
- Experience with large, real-world data sets
- Willingness to travel
- Previous mentorship experience / supervision of other students or small teams
- Familiarity with a modern software development stack (git, containerization, etc.)
What we offer:
- Join an exciting, early-stage, and fast-paced team working on the frontiers of medical research and machine learning
- Work with an interdisciplinary team of motivated and driven individuals, with a vision to bring meaningful change to an industry
- Generous compensation package that includes a base salary, bonus, stock options, and relocation support along with additional location-based benefits
Location:
The team is based in Europe and the US. We support hybrid working setups from all office locations if the individual is open to occasional travel.
About QuantCo:
At QuantCo, we leverage expertise in data science, engineering, and economics to help organizations turn data into decisions. Started by 4 PhDs from Harvard and Stanford, we are now more than 180 professionals with extensive quantitative, engineering, and business experience. We are globally distributed with offices in Berlin, Boston, Cologne, Karlsruhe, London, Munich, San Francisco, and Zurich.
Our solutions include algorithmic pricing, data-driven claims management, and high-dimensional forecasting systems. Our customers include some of the largest financial, retail, and healthcare organizations in the US and Europe. We impact core business processes and decisions by combining advanced data-driven insights with scalable engineering solutions.
We are excited about writing mission-critical code that affects millions of people and impacts billions of dollars. If you feel the same way, we look forward to hearing from you.
QuantCo does not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
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Research Scientist - Virdx Arbeitgeber: QuantCo, Inc.
Kontaktperson:
QuantCo, Inc. HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Research Scientist - Virdx
✨Tip Number 1
Familiarize yourself with the latest advancements in diffusion imaging and MRI protocols. This knowledge will not only help you understand Virdx's mission better but also allow you to engage in meaningful discussions during interviews.
✨Tip Number 2
Showcase your practical experience with machine learning, especially in probabilistic modeling. Be prepared to discuss specific projects or challenges you've tackled that relate to this area, as it aligns closely with the role's requirements.
✨Tip Number 3
Highlight any previous mentorship or team leadership experiences. Virdx values collaboration and the ability to guide others, so sharing examples of how you've supported colleagues or students can set you apart.
✨Tip Number 4
Demonstrate your coding skills in Python through personal projects or contributions to open-source repositories. Being able to showcase your coding proficiency will be crucial, especially since strong coding skills are essential for this position.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Research Scientist - Virdx
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of the Research Scientist position at Virdx. Familiarize yourself with their focus on non-invasive cancer detection and the technologies they are using.
Highlight Relevant Experience: In your application, emphasize your advanced degree and any relevant experience in physics, applied mathematics, or machine learning. Be specific about your practical experience with statistical inference and coding skills in Python.
Showcase Publications and Projects: If you have high-quality publications or contributions to open source projects, make sure to include them in your application. This will demonstrate your expertise and commitment to the field.
Tailor Your Cover Letter: Write a personalized cover letter that connects your background and skills to the mission of Virdx. Express your enthusiasm for working on innovative solutions in medical research and how you can contribute to their goals.
Wie du dich auf ein Vorstellungsgespräch bei QuantCo, Inc. vorbereitest
✨Showcase Your Technical Expertise
Be prepared to discuss your advanced degree and any relevant experience in physics, applied mathematics, or machine learning. Highlight specific projects where you've applied statistical inference or Bayesian methods, as this will demonstrate your deep theoretical understanding.
✨Demonstrate Coding Proficiency
Since strong coding skills in Python are essential for this role, be ready to share examples of your coding projects. If possible, bring along snippets of code or contributions to open source repositories that showcase your ability to solve complex problems.
✨Discuss Your Research Impact
Prepare to talk about your publications and how they contribute to the field. Discuss any high-quality research you've conducted, especially if it relates to cancer detection or MRI protocols, as this aligns with Virdx's mission.
✨Emphasize Team Collaboration
Virdx values interdisciplinary teamwork, so be ready to discuss your previous mentorship experiences or how you've collaborated with others on research projects. Highlight your willingness to travel and adapt to hybrid working setups, as this shows your flexibility and commitment to the team's goals.